Abstract

In order for the unlicensed or secondary users to use the licensed spectrum cognitive radio has been proposed. The licensed frequencies can be made use of by unlicensed users through dynamic spectrum access so as to reduce spectrum scarcity. This requires intelligent spectrum sensing techniques. The detection of unused frequency bands is the most challenging task in cognitive radio. In this study such unused spectrum is predicted by exploring the primary users presence in minimum time using matched filter based detection incorporating optimal threshold selection, thereby increasing the sensing accuracy and interference reduction of secondary network.

Keywords:

Likelihood ratio test, matched filter, spectrum efficiency,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.